Current issue
Archive
Manuscripts accepted
About the Journal
Editorial office
Editorial board
Section Editors
Abstracting and indexing
Subscription
Contact
Ethical standards and procedures
Most read articles
Instructions for authors
Article Processing Charge (APC)
Regulations of paying article processing charge (APC)
Editor's Choice
METABOLIC DISORDERS / CLINICAL RESEARCH
Telomere length across the spectrum of metabolic health: an analysis from the LIPIDOGEN2015 study
1
Faculty of Medicine, the John Paul II Catholic University of Lublin, Poland
2
Department of Preventive Cardiology and Lipidology, Medical University of Lodz, Poland
3
Department of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
4
Department of Biology and Genetics, Institute of Medical Sciences, University of Opole, Poland
5
Department of Medical and Molecular Biology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
6
Department of Cardiology, Institute of Medical Sciences, University of Opole, Poland
7
Department of Genetics, Polish Mother’s Memorial Hospital Research Institute, Lodz, Poland
8
Department of Family Medicine and Public Health, Institute of Medical Sciences, University of Opole, Poland
These authors had equal contribution to this work
Submission date: 2024-08-17
Final revision date: 2024-09-29
Acceptance date: 2024-10-31
Online publication date: 2024-10-31
Corresponding author
Martyna Fronczek
Department of Pharmacology, Faculty of Medical Sciences in Medical University of Silesia, Zabrze, Poland
Department of Pharmacology, Faculty of Medical Sciences in Medical University of Silesia, Zabrze, Poland
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Telomere length is a cellular aging marker and correlates with various cardiovascular disease (CVD) risk factors. The current study assessed the association between obesity, metabolic syndrome (MetS), and telomere length.
Material and methods:
The LIPIDOGRAM&LIPIDOGEN2015 study was conducted in primary care in 2015–2016. Patients recruited to the LIPIDOGEN2015 cohort (n = 1788) were a random subset of patients of the LIPIDOGRAM2015 (n = 13,724) study. For the aims of this analysis, the recruited patients were divided into four groups based on the presence of MetS: healthy slim (HS), metabolically healthy obese (MHO), non-obese with MetS (NOMS), and metabolically unhealthy obese (MUO). Relative telomere length (RTL) was measured using quantitative polymerase chain reaction (qPCR).
Results:
1516 patients (85% of the total group; 59.7% female, mean age 50.3 years) were included in the final analyses. Increases in body mass index (BMI), waist circumference, prevalence of diabetes mellitus, hypertension, dyslipidemia, and history of myocardial infarction moving from HS to MUO were observed. The MUO group exhibited the highest triglyceride and lowest high-density lipoprotein (HDL-C) levels. In the univariate regression analyses, NOMS (p = 0.038) and MUO (p = 0.003) were associated with significantly decreased RTL. After adjusting for age, gender, education, smoking, place of residence, and myocardial infarction, the association was no longer statistically significant.
Conclusions:
Despite the lack of statistical significance in the multivariate analysis, the univariate results suggest that both MUO and NOMS phenotypes contribute to the shortening of telomere length. These results may also indicate that MetS, irrespectively of obesity occurrence, is responsible for the shortened lifespan.
Telomere length is a cellular aging marker and correlates with various cardiovascular disease (CVD) risk factors. The current study assessed the association between obesity, metabolic syndrome (MetS), and telomere length.
Material and methods:
The LIPIDOGRAM&LIPIDOGEN2015 study was conducted in primary care in 2015–2016. Patients recruited to the LIPIDOGEN2015 cohort (n = 1788) were a random subset of patients of the LIPIDOGRAM2015 (n = 13,724) study. For the aims of this analysis, the recruited patients were divided into four groups based on the presence of MetS: healthy slim (HS), metabolically healthy obese (MHO), non-obese with MetS (NOMS), and metabolically unhealthy obese (MUO). Relative telomere length (RTL) was measured using quantitative polymerase chain reaction (qPCR).
Results:
1516 patients (85% of the total group; 59.7% female, mean age 50.3 years) were included in the final analyses. Increases in body mass index (BMI), waist circumference, prevalence of diabetes mellitus, hypertension, dyslipidemia, and history of myocardial infarction moving from HS to MUO were observed. The MUO group exhibited the highest triglyceride and lowest high-density lipoprotein (HDL-C) levels. In the univariate regression analyses, NOMS (p = 0.038) and MUO (p = 0.003) were associated with significantly decreased RTL. After adjusting for age, gender, education, smoking, place of residence, and myocardial infarction, the association was no longer statistically significant.
Conclusions:
Despite the lack of statistical significance in the multivariate analysis, the univariate results suggest that both MUO and NOMS phenotypes contribute to the shortening of telomere length. These results may also indicate that MetS, irrespectively of obesity occurrence, is responsible for the shortened lifespan.
REFERENCES (45)
2.
Definitions, Classification, and Epidemiology of Obesity - Endotext - NCBI Bookshelf n.d. https://www.ncbi.nlm.nih.gov/b... (accessed May 20, 2024).
3.
Purnell JQ. Definitions, Classification, and Epidemiology of Obesity. In: Feingold KR, Anawalt B, Blackman MR, et al., editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2023.
4.
Panuganti KK, Nguyen M, Kshirsagar RK. Obesity. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024.
5.
Lemieux I, Després JP. Metabolic Syndrome: From Etiology to Prevention and Clinical Management Metabolic. Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute; 2021.
6.
Dobrowolski P, Prejbisz A, Kurylowicz A, et al. Metabolic syndrome – a new definition and management guidelines: a joint position paper by the Polish Society of Hypertension, Polish Society for the Treatment of Obesity, Polish Lipid Association, Polish Association for Study of Liver, Polish Society of Family Medicine, Polish Society of Lifestyle Medicine, Division of Prevention and Epidemiology Polish Cardiac Society, “Club 30” Polish Cardiac Society, and Division of Metabolic and Bariatric Surgery Society of Polish Surgeons. Arch Med Sci 2022; 18: 1133.
7.
Barrea L, Muscogiuri G, Pugliese G, de Alteriis G, Colao A, Savastano S. Metabolically healthy obesity (Mho) vs. metabolically unhealthy obesity (muo) phenotypes in PCOS: association with endocrine-metabolic profile, adherence to the mediterranean diet, and body composition. Nutrients 2021; 13: 3925.
8.
Lejawa M, Osadnik K, Osadnik T, Pawlas N. Association of metabolically healthy and unhealthy obesity phenotypes with oxidative stress parameters and telomere length in healthy young adult men. Analysis of the MAGNETIC Study. Antioxidants 2021; 10: 93.
9.
Olszanecka-Glinianowicz M, Mazur A, Chudek J, et al. Obesity in adults: position statement of Polish Association for the Study on Obesity, Polish Association of Endocrinology, Polish Association of Cardiodiabetology, Polish Psychiatric Association, Section of Metabolic and Bariatric Surgery of the Association of Polish Surgeons, and the College of Family Physicians in Poland. Nutrients 2023; 15: 1641.
10.
Clemente-Suárez VJ, Beltrán-Velasco AI, Redondo-Flórez L, Martín-Rodríguez A, Tornero-Aguilera JF. Global impacts of western diet and its effects on metabolism and health: a narrative review. Nutrients 2023; 15: 2749.
11.
Clemente-Suárez VJ, Martín-Rodríguez A, Redondo-Flórez L, López-Mora C, Yáñez-Sepúlveda R, Tornero-Aguilera JF. New insights and potential therapeutic interventions in metabolic diseases. Int J Mol Sci 2023; 24: 10672.
12.
Gavia-García G, Rosado-Pérez J, Arista-Ugalde TL, Aguiñiga-Sánchez I, Santiago-Osorio E, Mendoza-Núñez VM. Telomere length and oxidative stress and its relation with metabolic syndrome components in the aging. Biology 2021; 10: 253.
13.
Monserrat-Mesquida M, Quetglas-Llabrés M, Capó X, et al. Metabolic syndrome is associated with oxidative stress and proinflammatory state. Antioxidants 2020; 9: 236.
14.
Vaiserman A, Krasnienkov D. Telomere length as a marker of biological age: state-of-the-art, open issues, and future perspectives. Front Genet 2021; 11: 630186.
15.
Srinivas N, Rachakonda S, Kumar R. Telomeres and telomere length: a general overview. Cancers (Basel) 2020; 12: 558.
16.
Neidle S, Parkinson GN. The structure of telomeric DNA. Curr Opin Struct Biol 2003; 13: 275-83.
17.
Stewart JA, Chaiken MF, Wang F, Price CM. Maintaining the end: roles of telomere proteins in end-protection, telomere replication and length regulation. Mutat Res 2012; 730: 12.
18.
D’Mello MJJ, Ross SA, Briel M, Anand SS, Gerstein H, Paré G. Association between shortened leukocyte telomere length and cardiometabolic outcomes: systematic review and meta-analysis. Circ Cardiovasc Genet 2015; 8: 82-90.
19.
Révész D, Milaneschi Y, Verhoeven JE, Lin J, Penninx BWJH. Longitudinal associations between metabolic syndrome components and telomere shortening. J Clin Endocrinol Metab 2015; 100: 3050-9.
20.
Sagris M, Theofilis P, Antonopoulos AS, Tsioufis K, Tousoulis D. Telomere length: a cardiovascular biomarker and a novel therapeutic target. Int J Mol Sci 2022; 23: 16010.
21.
Mazidi M, Kengne AP, Sahebkar A, Banach M. Telomere length is associated with cardiometabolic factors in US adults. Angiology 2018; 69: 164-9.
22.
Mazidi M, Banach M, Kengne AP. Association between plasma trans fatty acids concentrations and leucocyte telomere length in US adults. Eur J Clin Nutr 2018; 72: 581-6.
23.
Jóźwiak JJ, Kasperczyk S, Tomasik T, et al. Design and rationale of a nationwide screening analysis from the LIPIDOGRAM2015 and LIPIDOGEN2015 studies. Arch Med Sci 2022; 18: 604-16.
24.
Alberti KGMM, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120: 1640-5.
25.
Cawthon RM. Telomere length measurement by a novel monochrome multiplex quantitative PCR method. Nucleic Acids Res 2009; 37: e21.
26.
Oetting WS, Guan W, Schadt DP, et al. Telomere length of recipients and living kidney donors and chronic graft dysfunction in kidney transplants. Transplantation 2014; 97: 325-9.
27.
Liu S, Nong W, Ji L, et al. The regulatory feedback of inflammatory signaling and telomere/telomerase complex dysfunction in chronic inflammatory diseases. Exp Gerontol 2023; 174: 112132.
28.
Fernández-Sánchez A, Madrigal-Santillán E, Bautista M, et al. Inflammation, oxidative stress, and obesity. Int J Mol Sci 2011; 12: 3117-32.
29.
Houben JMJ, Moonen HJJ, van Schooten FJ, Hageman GJ. Telomere length assessment: biomarker of chronic oxidative stress? Free Radic Biol Med 2008; 44: 235-46.
30.
von Zglinicki T, Saretzki G, Döcke W, Lotze C. Mild hyperoxia shortens telomeres and inhibits proliferation of fibroblasts: a model for senescence? Exp Cell Res 1995; 220: 186-93.
31.
Molli AEI, Panero J, Dos Santos PC, et al. Metabolically healthy obese women have longer telomere length than obese women with metabolic syndrome. PLoS One 2017; 12: e0174945.
32.
McAninch D, Bianco-Miotto T, Gatford KL, et al. The metabolic syndrome in pregnancy and its association with child telomere length. Diabetologia 2020; 63: 2140-9.
33.
Huzen J, Wong LSM, van Veldhuisen DJ, et al. Telomere length loss due to smoking and metabolic traits. J Intern Med 2014; 275: 155-63.
34.
Zhang Y, Xu Z, Yang Y, Cao S, Lyu S, Duan W. Association between weight change and leukocyte telomere length in U.S. adults. Front Endocrinol (Lausanne) 2021; 12: 650988.
35.
Wang X, Wen J, Qu Q, et al. Association of weight range with telomere length: a retrospective cohort study. Front Endocrinol (Lausanne) 2023; 14: 1106283.
36.
Loh NY, Noordam R, Christodoulides C. Telomere length and metabolic syndrome traits: a Mendelian randomisation study. Aging Cell 2021; 20: e13445.
37.
Chen B, Yan Y, Wang H, Xu J. Association between genetically determined telomere length and health-related outcomes: a systematic review and meta-analysis of Mendelian randomization studies. Aging Cell 2023; 22: e13874.
38.
Banach M, Mazidi M, Mikhailidis DP, et al. Association between phenotypic familial hypercholesterolaemia and telomere length in US adults: results from a multi-ethnic survey. Eur Heart J 2018; 39: 3635-40.
39.
Mazidi M, Kengne AP, Cheskin LJ, Banach M. Serum lipophilic antioxidants levels are associated with leucocyte telomere length among US adults. Lipids Health Dis 2018; 17: 164.
40.
Hansen TV, Simonsen MK, Nielsen FC, Hundrup YA. Collection of blood, saliva, and buccal cell samples in a pilot study on the Danish nurse cohort: comparison of the response rate and quality of genomic DNA. Cancer Epidemiol Biomarkers Prev 2007; 16: 2072-6.
41.
Stout SA, Lin J, Hernandez N, et al. Validation of minimally-invasive sample collection methods for measurement of telomere length. Front Aging Neurosci 2017; 9: 397.
42.
Lahnert P. An improved method for determining telomere length and its use in assessing age in blood and saliva. Gerontology 2005; 51: 352-6.
43.
Geronimus AT, Bound J, Mitchell C, et al. Coming up short: Comparing venous blood, dried blood spots & saliva samples for measuring telomere length in health equity research. PLoS One 2021; 16: e0255237.
44.
Schneper LM, Drake AJ, Dunstan T, Kotenko I, Notterman DA, Piyasena C. Characteristics of salivary telomere length shortening in preterm infants. PLoS One 2023; 18: e0280184.
45.
Osadnik K, Osadnik T, Gierlotka M, et al. Metabolic syndrome is associated with similar long-term prognosis in those living with and without obesity: an analysis of 45 615 patients from the nationwide LIPIDOGRAM 2004-2015 studies. Eur J Prev Cardiol 2023; 30: 1195-204.
Share
RELATED ARTICLE
| eISSN: | 1896-9151 |
| ISSN: | 1734-1922 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
